An Improved BERT and Syntactic Dependency Representation Model for Sentiment Analysis

Text representation of social media is an important task for users' sentiment analysis. Utilizing the better representation, we can accurately acquire the real semantic information expressed by online users. However, existing works cannot achieve the best results. In this paper, we construct an...

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Detalles Bibliográficos
Autores principales: Liu, Wenfeng, Yi, Jing, Hu, Zhanliang, Gao, Yaling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098270/
https://www.ncbi.nlm.nih.gov/pubmed/35571684
http://dx.doi.org/10.1155/2022/5754151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098270/
https://www.ncbi.nlm.nih.gov/pubmed/35571684
http://dx.doi.org/10.1155/2022/5754151

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